20 citations as recorded by crossref.

1. Modeling the underwater light field fluctuations in coastal oceanic waters: Validation with experimental data B. Sundarabalan et al. https://doi.org/10.1007/s12601-016-0007-y
2. A Model for Deriving the Spectral Backscattering Properties of Particles in Inland and Marine Waters From <italic>In Situ</italic> and Remote Sensing Data S. Vadakke-Chanat et al. https://doi.org/10.1109/TGRS.2016.2624986
3. Characteristics of transmission light in tetracycline hydrochloride polluted wastewater and the response of g-C3N4 under different transmission spectral range during the photodegradation process Z. Shi et al. https://doi.org/10.1016/j.chemosphere.2020.128196
4. Red-light phenotype in a marine diatom involves a specialized oligomeric red-shifted antenna and altered cell morphology M. Herbstová et al. https://doi.org/10.1038/s41598-017-12247-0
5. Use of Landsat 8 data for characterizing dynamic changes in physical and acoustical properties of coastal lagoon and estuarine waters T. Varunan & P. Shanmugam https://doi.org/10.1016/j.asr.2018.07.002
6. Red-shifted light-harvesting system of freshwater eukaryotic alga Trachydiscus minutus (Eustigmatophyta, Stramenopila) R. Litvín et al. https://doi.org/10.1007/s11120-019-00662-5
7. A hydrodynamics-assisted remote sensing method for estimating vertical distribution of total suspended matter in lakes: a case study of Poyang Lake H. Jiang et al. https://doi.org/10.1016/j.jhydrol.2026.135710
8. Influence of the Bubbles on the Hyperspectral Reflectance and Water Color Products C. Gouse Sandhani et al. https://doi.org/10.1109/ACCESS.2024.3401401
9. Assessment of trophic state and water quality of coastal-inland lakes based on Fuzzy Inference System A. Kulshreshtha & P. Shanmugam https://doi.org/10.1016/j.jglr.2018.07.015
10. Bio-optical and biogeochemical variability in coral reef waters: implications for remote sensing and environmental monitoring in the South China Sea K. Zeng et al. https://doi.org/10.1007/s00338-025-02788-6
11. Energy transfer dynamics in a red-shifted violaxanthin-chlorophyll a light-harvesting complex D. Bína et al. https://doi.org/10.1016/j.bbabio.2018.11.006
12. The effect of light stimuli on dark‐adapted visual sensitivity in invasive silver carpHypophthalmichthys molitrixand bighead carpH. nobilis B. Vetter et al. https://doi.org/10.1111/jfb.13880
13. Data-driven estimation of bioluminescent radiances in oceanic waters using Monte Carlo method L. Rajkumar et al. https://doi.org/10.1016/j.jqsrt.2026.109947
14. Evaluation of underwater optical wireless communication in the visible spectral domain B. Angara et al. https://doi.org/10.1016/j.jqsrt.2025.109562
15. A Model for the Vertical Chlorophyll-a Distribution in the Bay of Bengal Using Remote Sensing Data S. Vadakke-Chanat & P. Shanmugam https://doi.org/10.1109/TGRS.2019.2939548
16. Underwater hyperspectral imaging for in situ underwater microplastic detection H. Huang et al. https://doi.org/10.1016/j.scitotenv.2021.145960
17. Effective removal of tetracycline hydrochloride under visible light using Mg1−Co Fe2O4 (x = 0.0, 0.1, 0.3, 0.5) nanoparticles L. Rajadurai et al. https://doi.org/10.1016/j.mseb.2024.117614
18. Seasonal optical backscattering in hypersaline waters: In-situ observations and data analysis A. Najah et al. https://doi.org/10.1371/journal.pone.0314567
19. An optical system for detecting and describing major algal blooms in coastal and oceanic waters around India E. Gokul & P. Shanmugam https://doi.org/10.1002/2015JC011604
20. Effect of the complex air–sea interface on a hybrid atmosphere-underwater optical wireless communications system R. Sahoo & P. Shanmugam https://doi.org/10.1016/j.optcom.2022.127941